Section: New Results

Scalable Heterogeneous Stores

To improve data querying performance within polystores (Section 3.1), we developed Estocada, a novel system capable of exploiting side-by-side a practically unbound variety of data management system, all the while guaranteeing the soundness and completeness of the store, and striving to extract the best performance out of the various DMSs. Estocada leverages recent advances in the area of query rewriting under constraints, which we use to capture the various data models and describe the fragments stored within each data management system. Estocada was demonstrated at the IEEE ICDE conference [12]; recent experimental results demonstrated performance improvements by many orders of magnitude brought by the fragments Estocada supports, with respect to the setting where data is stored only in the system it originates from. This work continues, in collaboration with Alin Deutsch and Rana Alotaibi from UCSD.